code: def test_timegapsplit_summary():
      cv = TimeGapSplit(
          date_serie=df["date"],
          train_duration=timedelta(days=5),
          valid_duration=timedelta(days=3),
          gap_duration=timedelta(days=0),
      )
  
      summary = cv.summary(X_train)
  
      assert summary.shape == (12, 5)
  
file_path: scikit-lego/tests/test_model_selection/test_timegapsplit.py
imports: import datetime
  from datetime import timedelta
  import numpy
  import pandas
  import pytest
  from sklearn.linear_model import Lasso
  from sklearn.model_selection import GridSearchCV
  from sklearn.pipeline import Pipeline
  from sklego.model_selection import TimeGapSplit
label_desc: Use image node_id 9 for calling a global function with example usage: test_timegapsplit_summary() without return types